A new implementation of Population Based Incremental Learning method for optimization studies in electromagnetics

S. Y. Yang, Siu Lau Ho, G. Z. Ni, José Márcio Machado, K. F. Wong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

To enhance the global search ability of Population Based Incremental Learning (PBIL) methods, It Is proposed that multiple probability vectors are to be Included on available PBIL algorithms. As a result, the strategy for updating those probability vectors and the negative learning and mutation operators are redefined as reported. Numerical examples are reported to demonstrate the pros and cons of the newly Implemented algorithm.
Original languageEnglish
Title of host publication12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
DOIs
Publication statusPublished - 21 Nov 2006
Event12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 - Miami, FL, United States
Duration: 30 Apr 20063 May 2006

Conference

Conference12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
Country/TerritoryUnited States
CityMiami, FL
Period30/04/063/05/06

ASJC Scopus subject areas

  • Engineering(all)

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